DocumentCode
730000
Title
Incremental new actions learning system with limited cost and storage
Author
Che-Wei Chang ; Liang-Gee Chen
Author_Institution
Grad. Inst. of Electron. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear
2015
fDate
24-26 June 2015
Firstpage
1
Lastpage
2
Abstract
In the future robotic applications, robot requires the ability not only to recognize human actions but also to learn incrementally and quickly. Therefore, we proposed an incremental action learning system for this future requirement. The proposed system can continuously learn new actions quickly with robust performance and less effort.
Keywords
human-robot interaction; learning (artificial intelligence); robot programming; robust control; future robotic applications; human actions; incremental new actions learning system; robust performance; Accuracy; Consumer electronics; Learning systems; Robots; Robustness; Support vector machines; Visualization; Action recognition; Incremental learning; Nearest class mean classification; new class learning; representative data selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ISCE), 2015 IEEE International Symposium on
Conference_Location
Madrid
Type
conf
DOI
10.1109/ISCE.2015.7177847
Filename
7177847
Link To Document